An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...